ReacTOD introduces a bounded neuro-symbolic ReAct architecture with symbolic validation that delivers new zero-shot SOTA joint goal accuracy on MultiWOZ 2.1 and strong results on SGD.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies , year=
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ReacTOD: Bounded Neuro-Symbolic Agentic NLU for Zero-Shot Dialogue State Tracking
ReacTOD introduces a bounded neuro-symbolic ReAct architecture with symbolic validation that delivers new zero-shot SOTA joint goal accuracy on MultiWOZ 2.1 and strong results on SGD.